Chapter

Redundancy in Robot Manipulators and Multi-Robot Systems

Volume 57 of the series Lecture Notes in Electrical Engineering pp 53-75

Exploiting Heterogeneity in Robotic Networks

  • Nicola BezzoAffiliated withDepartment of Electrical & Computer Engineering, University of New Mexico Email author 
  • , R. Andres CortezAffiliated withLos Alamos National Laboratory
  • , Rafael FierroAffiliated withDepartment of Electrical & Computer Engineering, University of New Mexico

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Abstract

In this chapter we consider the problem of coordinating robotic systems with different dynamics, sensing and vision capabilities, to achieve a unisonmission goal. An approach that makes use of a heterogeneous team of agents has several advantages when cost, integration of capabilities, or possible large search areas need to be investigated. A heterogeneous team allows for the robots to become “specialized” in their abilities and therefore accomplish sub-goals more efficiently which in turn makes the overall mission more efficient. We first propose a prioritized search algorithm combined with communication constraints to provide a decentralized prioritized sensing control algorithm for a heterogenous sensor network that maintains network connectivity. By specifying particular edge weights in the proximity graph, we provide a technique for biasing particular connections within the heterogenous sensor network. Then in the second part of the chapter we show a hierarchical approach to optimally allocate the tasks of a mission to specific agents. We develop a decentralized algorithm based on artificial physics and potential functions to guide the heterogeneous robotic network in the environment while maintaining connectivity constraints. Simulations and an experimental result are provided to show the applicability of the proposed frameworks.